spGARCH: Spatial ARCH and GARCH Models (spGARCH)

A collection of functions to deal with spatial and spatiotemporal autoregressive conditional heteroscedasticity (spatial ARCH and GARCH models) by Otto, Schmid, Garthoff (2018, Spatial Statistics) <arXiv:1609.00711>: simulation of spatial ARCH-type processes (spARCH, exponential spARCH, complex spARCH); quasi-maximum-likelihood estimation of the parameters of spARCH models and spatial autoregressive models with spARCH disturbances, diagnostic checks, visualizations.

Version:	0.2.2
Depends:	R (≥ 3.1.0)
Imports:	Rcpp (≥ 0.12.4), stats, truncnorm, Rsolnp, spdep, Matrix, nleqslv, methods
LinkingTo:	Rcpp, RcppEigen, Matrix
Published:	2020-09-02
Author:	Philipp Otto [cre, aut]
Maintainer:	Philipp Otto <ph.otto789 at gmail.com>
Contact:	<ph.otto789@gmail.com>
License:	GPL-2 | GPL-3 [expanded from: GPL]
NeedsCompilation:	yes
Citation:	spGARCH citation info
CRAN checks:	spGARCH results

Documentation:

Reference manual:

spGARCH.pdf

Downloads:

Package source:	spGARCH_0.2.2.tar.gz
Windows binaries:	r-devel: spGARCH_0.2.2.zip, r-release: spGARCH_0.2.2.zip, r-oldrel: spGARCH_0.2.2.zip
macOS binaries:	r-release (arm64): spGARCH_0.2.2.tgz, r-oldrel (arm64): spGARCH_0.2.2.tgz, r-release (x86_64): spGARCH_0.2.2.tgz, r-oldrel (x86_64): spGARCH_0.2.2.tgz
Old sources:	spGARCH archive

Linking:

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